Abstract:
Systems and methods for determining whether a mobile device is indoors or outdoors based on ambient signal measurements are described herein. A method for performing indoor/outdoor detection for a mobile device as described herein includes identifying one or more selected radio channels, including at least one of amplitude modulation (AM) radio stations, frequency modulation (FM) radio stations, or television stations, in an area of the mobile device; obtaining information relating to reference outdoor signal strengths for the respective selected radio channels; calculating measured signal strengths for signals received via the selected radio channels; comparing the reference outdoor signal strengths and the measured signal strengths; and classifying the mobile device as indoors or outdoors based on a result of the comparison.
Abstract:
Methods and apparatuses of configuring positioning estimations dynamically are disclosed. According to aspects of the present disclosure, the method may include receiving one or more user interface inputs and one or more sensor measurements at a mobile device, determining an intention score of a user according to the one or more user interface inputs and the one or more sensor measurements, selecting a positioning estimation scheme from a plurality of positioning estimation schemes based at least in part on the intention score of the user, and generating a positioning estimation at the mobile device using the positioning estimation scheme selected.
Abstract:
Methods and apparatuses of providing assistance data of a venue to a mobile device are disclosed. According to aspects of the present disclosure, one approach is to compute a visibility area that may satisfy positioning criteria for a venue, for example a mobile device may observe sufficient signals for positioning in the visibility area. Then, positioning assistance data may be generated that includes the information of signal characteristics in this visibility area. With this approach, the size of the positioning assistance data can be reduced and can be used more efficiently for positioning applications without losing useful information.
Abstract:
Methods, apparatus, and computer program products for classifying a mobile device location are described. An example of a method for classifying the mobile device location includes mapping the mobile device location to a pixel address in a dilated test texture, wherein the dilated test texture corresponds to an uncertainty estimation associated with the mobile device location and determining an in-out classification of the mobile device location based on a query of a pixel value associated with the pixel address in the dilated test texture.
Abstract:
A method for processing assistance data associated with positioning of a mobile device as described herein includes estimating an initial location of the mobile device within an area; designating the initial location of the mobile device as a focal point; retrieving a subset of hierarchical assistance data as a function of the focal point; and generating a multi-level assistance data structure for the area centered at the focal point.
Abstract:
Methods and devices are described for aligning map data from different levels of the same location/venue/environment. Certain embodiments may include receiving, at a computing device, first and second sets of map data associated with corresponding first and second levels of a location. The device may receive via a network or user interface, sets of anchor points matched across the different levels. These matched anchor points may then be used to deform one or more levels of map data to align any misaligned anchor points.